Welcome back to another episode of the Flocode Engineering Insights Podcast. Today, I’m speaking with Liam Brannigan.
Liam is an experienced data scientist, fellow Irishman, and the creator of an excellent course on Polars, one of Python’s fastest-growing data manipulation libraries.
Liam is also a contributor to Polars fantastic documentation.
In this episode, we’ll be taking a bird’s-eye view of the data science landscape and exploring how it can benefit practicing engineers. Liam brings excellent insights from his diverse career across multiple domains, spanning everything from finance to oceanography and now, data engineering.
Check out Liam’s course here: Data Analysis with Polars
I have taken Liam’s course on Polars, it’s concise, clear and easy to implement. While I still use Pandas, I am using Polars more and more as my data sets increase in size and fidelity and as I gain comfort in the methods. It’s very similar to Pandas, the transition is pretty smooth for the most part - will talk about this in more detail soon.
Follow Liam on LinkedIn.
We dive into why data science is becoming more important for modern engineers, the advantages of using tools like Polars and Pandas, and how these technologies can improve workflows, boost efficiency, and handle larger datasets more effectively than traditional tools like Excel.
I had a great chat with Liam, because of this broad background he is uniquely positioned to understand the pros and cons of data engineering principles in a civil/structural engineering context.
There’s a lot of great information in this episode. Huge thanks to Liam for coming on the podcast, really enjoyed it.
See you in the next one!
James 🌊
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